US5905946A - Method for estimating a channel and a receiver - Google Patents

Method for estimating a channel and a receiver Download PDF

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Publication number
US5905946A
US5905946A US08/912,418 US91241897A US5905946A US 5905946 A US5905946 A US 5905946A US 91241897 A US91241897 A US 91241897A US 5905946 A US5905946 A US 5905946A
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channel
multiple access
signal
receiver
channel estimation
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Expired - Lifetime
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US08/912,418
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English (en)
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Jorma Lilleberg
Timo Laakso
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Nokia Oyj
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Nokia Mobile Phones Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H04B1/7103—Interference-related aspects the interference being multiple access interference
    • H04B1/7107—Subtractive interference cancellation

Definitions

  • the invention relates to a method for estimating a channel in a receiver of a cellular radio system in which the received signal is subjected to elimination of multiple access interference.
  • the method of the invention can be generally applied in any cellular radio system in which elimination of multiple access interference is applied, but it is particularly suited for use in a cellular radio system utilizing the CDMA multiple access method.
  • CDMA is a multiple access method based on a spread spectrum technique, and it has been recently put into use in cellular radio systems in addition to previously used FDMA and TDMA. CDMA has many advantages over the prior methods, such as simplicity of frequency planning, and spectrum efficiency.
  • a narrow-band data signal of a user is multiplied to a relatively broad band by a spreading code having a much broader band than the data signal.
  • Band widths used in known test systems include e.g. 1.25 MHz, 10 MHz and 25 MHz.
  • the multiplication spreads the data signal over the entire band to be used. All the users transmit simultaneously on the same frequency band.
  • On each connection between a base station and a mobile station is used a different spreading code, and the signals of the users can be distinguished from one another in the receivers on the basis of the spreading code of the user.
  • the spreading codes are selected in such a way that they are mutually orthogonal, i.e. they do not correlate with one another.
  • Correlators in conventionally implemented CDMA receivers are synchronized with a desired signal, which they recognize on the basis of the spreading code.
  • the data signal is restored to the original band by multiplying it by the same spreading code as in the transmission step.
  • the signals that have been multiplied by some other spreading code do not correlate and are not restored to the narrow band. In view of the desired signal, they thus appear as noise.
  • the object is to detect the signal of the desired user from among a number of interfering signals.
  • the spreading codes correlate, and the signals of the other users make it more difficult to detect the desired signal by distorting the received signal. This interference caused by the users to one another is called multiple access interference.
  • the capacity of the CDMA cellular radio system is limited by the above-described interference that the users cause to one another.
  • Interference can be reduced by maintaining, if possible, the power levels of the signals transmitted from the terminal equipments as equal as possible in the base station receiver by means of accurate power adjustment.
  • the base station observes the power levels of the received signals and transmits power adjustment commands to terminal equipments.
  • Another known way of reducing interference is to use different active methods of eliminating multiple access interference and methods based on simultaneous detection of a plural number of users.
  • the essential feature in a multipath channel is that the complex amplitude and the delay of each received signal component having a significant power level can be estimated so that the corresponding interference component can be eliminated from the desired signal. This determination of the amplitude and delay is called channel estimation.
  • the object of the present invention is to provide a method of estimating a channel in which elimination of multiple access interference is taken into account.
  • the invention also relates to a receiver in a cellular radio system, the receiver comprising means for eliminating multiple access interference from the received signal.
  • the receiver of the invention is characterized by comprising means for computing channel estimates from a signal that has undergone elimination of multiple access interference.
  • a channel estimator takes into account the elimination of the multiple access interference, and since the estimation is based on an interference-free signal, the channel estimates obtained are of much better quality than before.
  • the method of the invention is applicable for use with any channel estimation algorithm. Also, the solution described in the present invention does not define the method used for eliminating multiple access interference.
  • channel parameters are estimated both before and after interference is eliminated.
  • the channel estimates computed from the interference-free signal can be supplied as feedback to a first estimator, where they can be utilized.
  • channel parameters can be estimated in the second and later stages after elimination of interference in the earlier stages.
  • FIG. 1 shows part of a cellular radio system in which the method of the invention can be applied
  • FIG. 2 is a block diagram illustrating the structure of a receiver according to the invention
  • FIG. 3 is a block diagram illustrating an alternative structure of a receiver according to the invention.
  • FIG. 4 is a block diagram illustrating the structure of a multistage receiver according to the invention.
  • FIG. 5 illustrates the structure of one receiver stage
  • FIG. 6 illustrates shifting of frame structures in asynchronic traffic.
  • CDMA Code Division Multiple Access
  • multiple access system it is not essential to the invention what multiple access system is used. The only condition is that some method of eliminating multiple access interference is employed. Multiple access interference elimination methods can be applied e.g. in TDMA systems, as well as in CDMA systems, for eliminating interference from a given channel.
  • FIG. 1 shows part of a cellular radio system in which the method of the invention can be applied.
  • the figure shows a base station 10 which communicates with subscriber equipments 11-14 located within its coverage area.
  • each subscriber equipment transmits its own signal 15-18 to the base station on the same frequency band, and thereby interferes with the other subscriber equipments to some extent, depending on the cross-correlation characteristics of the spreading codes used.
  • the base station transmits a signal to all subscriber equipments on the same frequency band.
  • the receivers may also receive signals from a neighbouring cell.
  • FIG. 2 is a block diagram illustrating the essential parts of the general structure of a receiver according to one advantageous embodiment of the method of the invention.
  • the receiver comprises first estimation means 20 whose transmission is a received and digitalized signal and where preliminary channel estimation is conducted by a known estimation method. The features of the channel that are estimated are usually the complex amplitude and the delay.
  • the receiver further comprises detection means 21, in which preliminary symbol estimates are computed for the received transmission.
  • the receiver of the invention also comprises means 22 for eliminating interference from the received signal by a known interference elimination method.
  • the receiver of the invention further comprises second estimation means 23, in which channel parameters of the interference-free signal are estimated, whereby more accurate estimates are obtained than in the first estimation means, which conduct the preliminary estimation. Also in the second estimation means the estimation can be conducted by a known estimation method.
  • Estimation results obtained from the second estimation means can thus be utilized when preliminary estimates are computed, e.g. by supplying the channel parameters obtained from the second estimation means concerning sample b n to the first estimation means as default values for computing preliminary channel parameters for the next sample b n+1 .
  • FIG. 3 is a block diagram illustrating the essential parts of the general structure of a receiver according to another embodiment of the method of the invention.
  • the receiver comprises a number of matched filters or RAKE receivers 31, 37, 44, each being arranged to receive and demodulate the signal of one user, and the signals being distinguishable by their spreading codes.
  • the received transmission is supplied to a first estimation means 30, where preliminary channel parameters are estimated. From the estimation means the signal is supplied to a first matched filter 31, where the desired signal is demodulated, and further to a first detector 32, where a bit decision is made.
  • a signal 33 obtained from the detector 32 and comprising an estimate of the transmission of the first user is supplied further to the other parts of the receiver and to a first regeneration means 35, where the detected signal is regenerated, i.e. multiplied by the spreading code.
  • the regenerated signal obtained is supplied further to a first adder means 36, where it is extracted from the received transmission supplied to the adder means 36 via a first delay means 34.
  • the signal obtained from the first adder 36 thus comprises the received transmission from which the effect of the signal demodulated by the first matched filter 31, i.e. typically the strongest signal, has been extracted.
  • the signal is supplied to a second estimation means 38 and a second matched filter 37.
  • the channel parameters are re-estimated from the signal which has undergone interference elimination, i.e. from which the effect of the strongest signal has been extracted.
  • the so obtained estimates are naturally of better quality than the estimates obtained from a signal that includes interference.
  • the re-estimated signal is demodulated in the second matched filter 37, which is typically matched with the second strongest signal.
  • the signal obtained is detected in a second detector 39, and a detected signal 40 is supplied further to the other stages of the receiver.
  • the signal 40 is also supplied to a second regeneration means 42, in which the detected signal is again regenerated, i.e. multiplied by the spreading code. In the regeneration, estimation results obtained in the second estimation means 38 are utilized.
  • the regenerated signal is supplied further to a second adder means 43, where it is extracted from the received transmission, which is supplied to the adder 43 via a second delay means 41.
  • All the signals are estimated, demodulated, detected and regenerated in a similar manner in the receiver, until all the signals have been processed.
  • the signals are processed in the order of intensity so that the weakest signal is processed in a last matched filter 44 and detector 45, but the processing order may also be different.
  • the essential feature of the receiver according to the invention is, however, that the channel parameters of the signals are estimated on the basis of a signal which has undergone interference elimination, i.e. from which the effect of the signals that are stronger than those of the user concerned has been extracted.
  • the method of the invention can also be applied in a multistage receiver in which all the users received are processed in parallel, and in which symbol estimates are specified in successive receiver stages by repeating the receive procedure after the interference elimination a desired number of times.
  • channel estimates can be specified iteratively in each stage.
  • FIG. 4 illustrates the general structure of a multistage receiver.
  • the receiver comprises three successive receiver stages 47-49, and in each stage are estimated the symbol estimates of the incoming signal.
  • the later stages always produce a more accurate result than the earlier stages.
  • multiple access interference can be eliminated and channel parameters of the ingoing signal can be estimated in each stage. In the later stages, the parameters are thus estimated from a signal of better quality than in the earlier stages, and the estimates obtained are more accurate.
  • FIG. 5 is a block diagram illustrating one possible structure of one receiver stage in greater detail.
  • a receiver stage comprises a number of matched filters 51a-51c and estimation means 52a-a-52c, their input 50 being either a received signal or a signal obtained from the preceding stage.
  • estimation means and matched filter a signal of one received user is processed. If the stage is a second or a later stage, channel estimation is thus conducted after interference has been eliminated in an earlier stage. From each matched filter 51a-51c, the signal is supplied to a corresponding detector 53a-53c, in which a symbol estimate is computed for the received signal.
  • the detected signal is supplied further to regeneration means 54a-54c, in which the detected signal is regenerated, and in which data obtained from the estimation means on the complex amplitudes and phases of the signals are utilized.
  • the regenerated signals are supplied further to interference elimination means 55a-55c, which can be implemented e.g. by means of adders to which a transmission received via a delay means 56 is supplied and in which interference caused by signals from the other users is extracted, if desired, from the transmission concerned.
  • the signal obtained is supplied further to the other stages of the receiver.
  • Channel estimation can be implemented e.g. by a correlator tracking the peaks of the impulse response of a simple channel or by a decision-feedback estimator utilizing the received bit estimates.
  • the channel estimator may also involve filtering, whereby successive channel estimates are e.g. averaged to level the stochastic variation of the channel estimates.
  • the filtering may comprise processing of the signal e.g. by linear, non-linear, adaptive or time-variant processing methods.
  • the prediction procedure can be implemented e.g. by a signal processor which computes default values for parameters on the basis of the estimates obtained.
  • FIG. 6 shows parts of two simultaneously received signals that comprise time slots 60-63 and 64-67 respectively. Since different transmissions are not synchronized with one another, the time slots are not in sync; this is different from synchronic transmission, in which the time slots are in sync. For example, when interference in time slot 61 is determined and eliminated, those parts of time slots 65 and 66 which coincide with time slot 61 must be taken into account.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Noise Elimination (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)
US08/912,418 1994-11-03 1997-08-18 Method for estimating a channel and a receiver Expired - Lifetime US5905946A (en)

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US08/912,418 US5905946A (en) 1994-11-03 1997-08-18 Method for estimating a channel and a receiver

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FI945190 1994-11-03
FI945190A FI97180C (fi) 1994-11-03 1994-11-03 Menetelmä kanavan estimoimiseksi ja vastaanotin
US54833595A 1995-11-01 1995-11-01
US08/912,418 US5905946A (en) 1994-11-03 1997-08-18 Method for estimating a channel and a receiver

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EP (1) EP0711044B1 (fi)
JP (1) JPH08237190A (fi)
DE (1) DE69533888T2 (fi)
FI (1) FI97180C (fi)

Cited By (22)

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US6178194B1 (en) * 1997-01-16 2001-01-23 Nec Corporation Cellular mobile telephone system
US20010036812A1 (en) * 1999-12-01 2001-11-01 Bo Engstrom Bit error estimates from pilot signals
GB2362068A (en) * 2000-05-03 2001-11-07 Siemens Ag Channel estimator for a pipelined interference cancellation apparatus
US20020001352A1 (en) * 2000-06-05 2002-01-03 Richard Stirling-Gallacher Channel estimator for OFDM system
WO2002021712A1 (fr) * 2000-09-05 2002-03-14 Linkair Communications, Inc. Procede d'estimation de voie et systeme permettant de mettre en oeuvre ledit procede
US20020085623A1 (en) * 2000-12-29 2002-07-04 Madkour Mohamed F. System, method and apparatus for wireless channel parameter estimation in spread spectrum communication systems
US6535748B1 (en) 1998-05-27 2003-03-18 Nokia Mobile Phones Ltd. Wireless communication transceiver having a dual mode of operation
US6563883B1 (en) 1998-05-27 2003-05-13 Nokia Mobile Phones Limited Transmitter
US6580772B2 (en) * 1999-04-28 2003-06-17 Nokia Corporation Method of forming channel estimate, and receiver
US6631268B1 (en) 1998-07-01 2003-10-07 Nokia Mobile Phones Ltd. Data transmission method and radio system
US20030229540A1 (en) * 2002-06-10 2003-12-11 First Data Corporation Rebate issuance and reconciliation systems and methods
US6665334B1 (en) 1997-02-28 2003-12-16 Nokia Mobile Phones Ltd. Reception method and a receiver
US6724743B1 (en) * 1999-05-04 2004-04-20 France Telecom Method of conjoint detection of a set of CDMA codes
US20040223561A1 (en) * 2003-05-07 2004-11-11 Tahat Ashraf A. Methods for multi-user broadband wireless channel estimation
KR100488102B1 (ko) * 2000-12-26 2005-05-09 엘지전자 주식회사 병렬 간섭제거기를 사용하는 채널추정 장치
US20050107057A1 (en) * 2003-10-10 2005-05-19 Kabushiki Kaisha Toshiba MIMO communication system
US20050175126A1 (en) * 2003-02-18 2005-08-11 Samsung Electronics Co., Ltd. Channel estimation apparatus and method in digital communication system
US20060052062A1 (en) * 2003-01-29 2006-03-09 Ralf Heddergott Maximum likelihood estimation of the channel coefficients and of the DC offset in a digital baseband signal of a radio receiver using the sage algorithm
US7016434B1 (en) 1998-05-25 2006-03-21 Nokia Networks Oy Detection of interfering signal in radio receiver
US20070135051A1 (en) * 2005-01-05 2007-06-14 Dunmin Zheng Adaptive beam forming with multi-user detection and interference reduction in satellite communication systems and methods
US8831130B1 (en) * 1999-10-16 2014-09-09 Ipcom Gmbh & Co. Kg Channel estimate predicted from several previous channel estimates, for pre-equalization
US20180041266A1 (en) * 2015-12-28 2018-02-08 Solid, Inc. Interference cancellation repeater

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FI100150B (fi) * 1996-03-19 1997-09-30 Nokia Telecommunications Oy Vastaanottomenetelmä ja vastaanotin
FI101659B (fi) 1996-07-12 1998-07-31 Nokia Mobile Phones Ltd Viiveen estimointimenetelmä ja vastaanotin
KR100267343B1 (ko) * 1996-10-29 2000-10-16 윤종용 부호분할 다중 접속방식 단말기의 외부 간섭신호 제거장치 및 방법
US6377610B1 (en) * 1997-04-25 2002-04-23 Deutsche Telekom Ag Decoding method and decoding device for a CDMA transmission system for demodulating a received signal available in serial code concatenation
DE19717546B4 (de) * 1996-12-05 2014-05-15 Deutsche Telekom Ag Verfahren und Vorrichtung zur Decodierung bei einem CDMA-Übertragungssystem zum Demodulieren eines Empfangssignals, das in serieller Codeverkettung vorliegt
FI104020B (fi) 1997-06-23 1999-10-29 Nokia Telecommunications Oy Vastaanottomenetelmä ja vastaanotin
FR2770058B1 (fr) 1997-10-22 1999-11-19 Commissariat Energie Atomique Procede de traitement d'un signal de transmission d'information par etalement de spectre et recepteur correspondant
SG97783A1 (en) * 1999-02-02 2003-08-20 Univ Singapore A joint channel and information sequence estimation technique
DE60028228T2 (de) * 2000-10-12 2006-09-28 Matsushita Electric Industrial Co., Ltd., Kadoma Störungsunterdrückungssystem in einem cdma empfänger und verfahren zur störungsunterdrückung
CN1150708C (zh) 2000-11-21 2004-05-19 华为技术有限公司 一种提高码分多址蜂窝移动通信系统信道利用率的方法
GB2456874A (en) * 2008-01-30 2009-08-05 Nokia Corp Method and apparatus for detecting a data stream based on an estimated data stream and an estimated interference.

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Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6178194B1 (en) * 1997-01-16 2001-01-23 Nec Corporation Cellular mobile telephone system
US6665334B1 (en) 1997-02-28 2003-12-16 Nokia Mobile Phones Ltd. Reception method and a receiver
US7016434B1 (en) 1998-05-25 2006-03-21 Nokia Networks Oy Detection of interfering signal in radio receiver
US6535748B1 (en) 1998-05-27 2003-03-18 Nokia Mobile Phones Ltd. Wireless communication transceiver having a dual mode of operation
US6563883B1 (en) 1998-05-27 2003-05-13 Nokia Mobile Phones Limited Transmitter
US6631268B1 (en) 1998-07-01 2003-10-07 Nokia Mobile Phones Ltd. Data transmission method and radio system
US6580772B2 (en) * 1999-04-28 2003-06-17 Nokia Corporation Method of forming channel estimate, and receiver
US6724743B1 (en) * 1999-05-04 2004-04-20 France Telecom Method of conjoint detection of a set of CDMA codes
US9166827B2 (en) 1999-10-09 2015-10-20 Ipcom Gmbh & Co. Kg Channel estimate predicted from several previous channel estimates, for pre-equalization
US8831130B1 (en) * 1999-10-16 2014-09-09 Ipcom Gmbh & Co. Kg Channel estimate predicted from several previous channel estimates, for pre-equalization
US20010036812A1 (en) * 1999-12-01 2001-11-01 Bo Engstrom Bit error estimates from pilot signals
US6892053B2 (en) * 1999-12-01 2005-05-10 Telefonaktiebolaget Lm Ericsson (Publ) Bit error estimates from pilot signals
GB2362068B (en) * 2000-05-03 2004-08-18 Siemens Ag Channel estimator for a pipelined interference cancellation apparatus
GB2362068A (en) * 2000-05-03 2001-11-07 Siemens Ag Channel estimator for a pipelined interference cancellation apparatus
US20030142769A1 (en) * 2000-05-03 2003-07-31 Leo Rademacher Channel estimator a pipelined interfence cancellation apparatus
US20020001352A1 (en) * 2000-06-05 2002-01-03 Richard Stirling-Gallacher Channel estimator for OFDM system
US7689242B2 (en) 2000-07-05 2010-03-30 Sony Deutschland Gmbh Channel estimator for OFDM system
WO2002021712A1 (fr) * 2000-09-05 2002-03-14 Linkair Communications, Inc. Procede d'estimation de voie et systeme permettant de mettre en oeuvre ledit procede
KR100488102B1 (ko) * 2000-12-26 2005-05-09 엘지전자 주식회사 병렬 간섭제거기를 사용하는 채널추정 장치
US7012977B2 (en) * 2000-12-29 2006-03-14 Telefonaktiebolaget Lm Ericsson (Publ) System, method and apparatus for wireless channel parameter estimation in spread spectrum communication systems
US20020085623A1 (en) * 2000-12-29 2002-07-04 Madkour Mohamed F. System, method and apparatus for wireless channel parameter estimation in spread spectrum communication systems
US20030229540A1 (en) * 2002-06-10 2003-12-11 First Data Corporation Rebate issuance and reconciliation systems and methods
US20060052062A1 (en) * 2003-01-29 2006-03-09 Ralf Heddergott Maximum likelihood estimation of the channel coefficients and of the DC offset in a digital baseband signal of a radio receiver using the sage algorithm
US7340257B2 (en) * 2003-01-29 2008-03-04 Infineon Technologies Ag Maximum likelihood estimation of the channel coefficients and of the DC offset in a digital baseband signal of a radio receiver using the SAGE algorithm
US20050175126A1 (en) * 2003-02-18 2005-08-11 Samsung Electronics Co., Ltd. Channel estimation apparatus and method in digital communication system
US7359431B2 (en) * 2003-02-18 2008-04-15 Samsung Electronics Co., Ltd. Channel estimation apparatus and method in digital communication system
US7385617B2 (en) 2003-05-07 2008-06-10 Illinois Institute Of Technology Methods for multi-user broadband wireless channel estimation
US20040223561A1 (en) * 2003-05-07 2004-11-11 Tahat Ashraf A. Methods for multi-user broadband wireless channel estimation
US7302231B2 (en) * 2003-10-10 2007-11-27 Kabushiki Kaisha Toshiba MIMO communication system
US20050107057A1 (en) * 2003-10-10 2005-05-19 Kabushiki Kaisha Toshiba MIMO communication system
US20070135051A1 (en) * 2005-01-05 2007-06-14 Dunmin Zheng Adaptive beam forming with multi-user detection and interference reduction in satellite communication systems and methods
US20100184427A1 (en) * 2005-01-05 2010-07-22 Dunmin Zheng Adaptive beam forming with multi-user detection and interference reduction in satellite communication systems and methods
US7813700B2 (en) * 2005-01-05 2010-10-12 Atc Technologies, Llc Adaptive beam forming with multi-user detection and interference reduction in satellite communication systems
US8744360B2 (en) 2005-01-05 2014-06-03 Atc Technologies, Inc. Adaptive beam forming with multi-user detection and interference reduction in satellite communication systems and methods
US20180041266A1 (en) * 2015-12-28 2018-02-08 Solid, Inc. Interference cancellation repeater
US10181892B2 (en) * 2015-12-28 2019-01-15 Solid, Inc. Interference cancellation repeater

Also Published As

Publication number Publication date
FI97180C (fi) 1996-10-25
FI945190A0 (fi) 1994-11-03
DE69533888T2 (de) 2005-05-19
DE69533888D1 (de) 2005-02-03
EP0711044A2 (en) 1996-05-08
EP0711044A3 (en) 2000-05-24
FI945190A (fi) 1996-05-04
JPH08237190A (ja) 1996-09-13
EP0711044B1 (en) 2004-12-29
FI97180B (fi) 1996-07-15

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